Abstract
Robot soccer competition provides an excellent opportunity for robotics research. In particular, robot players in a soccer game must perform real-time visual recognition, navigate in a dynamic field, track moving objects, collaborate with teammates, and hit the ball in the correct direction. All these tasks demand robots that are autonomous (sensing, thinking, and acting as independent creatures), efficient (functioning under time and resource constraints), cooperative (collaborating with each other to accomplish tasks that are beyond individual’s capabilities), and intelligent (reasoning and planing actions and perhaps learning from experience). To build such integrated robots, we should use different approaches from those employed in separate research disciplines. In the 1997 RoboCup competition, the USC/ISI robot team, called Dreamteam, fought hard and won the world championship in the middle-sized robot league. These robots all share the same general architecture and basic hardware, but they have integrated abilities to play different roles (goal-keeper, defender or forward) and utilize different strategies in their behavior. Our philosophy in building these robots is to use the least possible sophistication to make them as robust as possible. This paper describes our experiences during the competition as well as our new improvements to the team.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Arbib, M. 1981. Perceptual Structures and Distributed Motor Control. I Handbook of Physiology-The Nervous System, II, ed. V. B. Brooks, 1449–1465. American Physiological Society.
Arkin, R.C. 1987. Motor Schema-Based Mobile Robot Navigation. International Journal of Robotics Research, 92–112
Brooks, R. A. 1986. A Robust Layered Control System for a Mobile Robot. IEEE Journal of Robotics and Automation 2(1).
Garcia-Alegre M. C., Recio F. Basic Agents for Visual/Motor Coordination of a Mobile Robot, Proceeding of the first International Conference on Autonomous Agents, Marina del Rey, CA, 1997, 429–434.
Kitano H., Asada M., Kuniyoshi Y., Noda I., Osawa E. Robocup: The Robot World Cup Initiative, Proceeding of the first International Conference on Autonomous Agents, Marina del Rey, CA, 1997, 340–347.
Laird, J.E. (ed) Special Issue on Integrated Cognitive Architectures. ACM SIGART Bulletin 2(4).
Shen, W.H., J. Adibi, B. Cho, G. Kaminka, J. Kim, B. Salemi, and S. Tejada. YODA—The Young Observant Discovery Agent. AI Magzine, Spring 1997. 37–45.
Shen, W.M. 1994. Autonomous Learning From Environment. W. H. Freeman, Computer Science Press. New York.
Shen, W. M. 1991. LIVE: An Architecture for Autonomous Learning from the Environment. ACM SIGART Bulletin 2(4): 151–155.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Shen, WM. et al. (1999). Integrated Reactive Soccer Agents. In: Asada, M., Kitano, H. (eds) RoboCup-98: Robot Soccer World Cup II. RoboCup 1998. Lecture Notes in Computer Science(), vol 1604. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48422-1_23
Download citation
DOI: https://doi.org/10.1007/3-540-48422-1_23
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66320-1
Online ISBN: 978-3-540-48422-6
eBook Packages: Springer Book Archive